Gaussian Process Regression for Predictive But Interpretable Machine Learning Models: An Example of Predicting Mental Workload across Tasks

There is increasing interest in real-time brain-computer interfaces (BCIs) for the passive monitoring of human cognitive state, including cognitive workload. Too often, however, effective BCIs based on machine learning techniques may function as “black boxes” that are difficult to analyze or interpr...

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Detalles Bibliográficos
Autores principales: Caywood, Matthew S., Roberts, Daniel M., Colombe, Jeffrey B., Greenwald, Hal S., Weiland, Monica Z.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5225116/
https://www.ncbi.nlm.nih.gov/pubmed/28123359
http://dx.doi.org/10.3389/fnhum.2016.00647

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5225116/
https://www.ncbi.nlm.nih.gov/pubmed/28123359
http://dx.doi.org/10.3389/fnhum.2016.00647

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